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ALDT
2011
Springer
262views Algorithms» more  ALDT 2011»
14 years 4 months ago
Learning Complex Concepts Using Crowdsourcing: A Bayesian Approach
Abstract. We develop a Bayesian approach to concept learning for crowdsourcing applications. A probabilistic belief over possible concept definitions is maintained and updated acc...
Paolo Viappiani, Sandra Zilles, Howard J. Hamilton...
ICMLA
2009
15 years 1 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
ICASSP
2008
IEEE
15 years 10 months ago
Maximum entropy relaxation for multiscale graphical model selection
We consider the problem of learning multiscale graphical models. Given a collection of variables along with covariance specifications for these variables, we introduce hidden var...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
GLOBECOM
2006
IEEE
15 years 10 months ago
Analytical Investigation with Markov Models of Selective Repeat Type II Hybrid ARQ
— This paper presents an analytical model for the analysis of Hybrid ARQ techniques on Discrete Time Markov Channels by means of Markov chains. The first contribution is an orig...
Leonardo Badia, Marco Levorato, Michele Zorzi
ACSAC
2006
IEEE
15 years 10 months ago
PolyUnpack: Automating the Hidden-Code Extraction of Unpack-Executing Malware
Modern malware often hide the malicious portion of their program code by making it appear as data at compiletime and transforming it back into executable code at runtime. This obf...
Paul Royal, Mitch Halpin, David Dagon, Robert Edmo...